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posterior uncertainty

10 papers

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Co-occurring keywords · papers mentioning both

variational inference (4) bayesian neural network (3) model compression (3) uncertainty estimation (2) weight uncertainty (1) probabilistic backpropagation (1) deep ensemble (1) sparsity-inducing prior (1) crowd labeling (1) latent quantization (1)

Papers

Kermut: Composite kernel regression for protein variant effects NeurIPS 2024 Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NeurIPS 2024 Active multi-fidelity Bayesian online changepoint detection UAI 2021 Conservative Uncertainty Estimation By Fitting Prior Networks ICLR 2020 Thompson Sampling via Local Uncertainty ICML 2020 Variational Bayesian Quantization ICML 2020 A Novel Strategy for Active Task Assignment in Crowd Labeling IJCAI 2018 Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018 Bayesian Compression for Deep Learning NeurIPS 2017 Learning Structured Weight Uncertainty in Bayesian Neural Networks AISTATS 2017